气候变化对儿童和青少年对紧急服务需求的影响

Letícia Veronesi, J. Martin, Guilherme Silva, Maria Luisa Prieto, A. Valle, Paulo Boas, J. Corrente
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引用次数: 0

摘要

目的评估气候变化对儿童和青少年紧急服务需求的影响。方法在圣保罗州一个城市农村进行生态学研究,分析2018年39,336例急诊室就诊情况,并与该市农学学院气象站获得的气象数据进行相关性分析。考虑季节、温度、相对湿度和降水量,拟合泊松回归模型。结果0 ~ 5岁年龄组对护理需求最大(65.2%),最常见的是急性鼻咽炎(8.7%),其次是不明原因发热(6.1%);急性上呼吸道感染:5.5%;急性扁桃体炎:5.2%;恶心呕吐:5%;腹泻和肠胃炎:4.8%;咳嗽:4.6%;哮喘:4.2%;支气管肺炎:2.9%,急性疼痛:2.4%。在夏季,最常见的发病是发烧和腹泻;秋季:急性鼻咽炎;冬季:IVA和发热;春季:发热,急性鼻咽炎。急性鼻咽炎、急性上呼吸道感染和支气管肺炎主要影响年龄较小的儿童,这些疾病更容易在较低的温度和低空气湿度下发生。结论一年中不同季节的发病率不同,发病几率与年龄、平均气温、平均湿度有关,与降水量无关。因此,从气候的分析,卫生服务可以预期,以促进预防措施和满足患者或多或少的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE IMPACTO OF CLIMATE CHANGE ON THE DEMAND OF CHILDREN AND ADOLESCENTS FOR EMERGENCY SERVICES
ABSTRACT GOALS To assess the impact of climatic variations on the demand of children and adolescents in emergency services. METHODS Ecological study conducted in a city countryside of São Paulo, which analysis of 39,336 emergency room visits in 2018 and correlation with meteorological data obtained from the meteorological station of the College of Agronomic Sciences of the municipality. Poisson regression models were fitted considering the season, temperature, relative humidity and precipitation. RESULTS The greatest demand for care was in the age group between 0 and 5 years (65.2%) with acute nasopharyngitis (8.7%) being the most frequent morbidity, followed by unspecified fever (6.1%); acute upper airway infection: 5.5%; acute tonsillitis: 5.2%; nausea and vomiting: 5%; diarrhea and gastroenteritis: 4.8%; cough: 4.6%; asthma: 4.2%; bronchopneumonia: 2.9% and acute pain: 2.4%. In summer, the most frequent morbidities were fever and diarrhea; in autumn: acute nasopharyngitis; in winter: IVA and fever; in spring: fever, acute nasopharyngitis. Acute nasopharyngitis, acute upper airway infection and bronchopneumonia mainly affect younger children and these diseases are more likely to occur at lower temperatures and in low air humidity. CONCLUSIONS There is a different frequency of morbidities in the different seasons of the year, as the chance of occurrence change depending on age, average temperature, average humidity and has no correlation with precipitation. Therefore, from the analysis of the climate, health services can anticipate to promote preventive measures and meet a greater or lesser demand of patients.
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